Does Parent or Child Know Best? an Assessment of Parent/Child Agreement in the Canadian National Longitudinal Survey of Children and Youth
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We use data from the Canadian National Longitudinal Survey of Children and Youth to address two questions. To what extent do parents and children agree when asked identical questions about child well-being? To what extent do differences in their responses affect what one infers from multivariate analysis of the data? The correspondence between parent and child in the assessment of child well-being is only slight to fair. Agreement is stronger for more observable outcomes, such as schooling performance, and weaker for less observable outcomes, such as emotional disorders. We regress both sets of responses on a standard set of socio-economic characteristics. We also conduct formal and informal tests of the differences in what one would infer from these two sets of regressions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it